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Sentiment analysis of expectation and perception of MILANO EXPO2015 in twitter data: a generalized cross entropy approach

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Abstract

In this paper, data concerning MILANO EXPO2015 is collected from the official twitter page of the event before and after its opening. In order to extract a semi-supervised ontology and to evaluate the global sentiment around the event, a variety of language processing techniques has been applied on the collected “tweets”: Latent Semantic Analysis, sentiment polarity tracking, along with gap analysis has allowed the semantic evaluation of users’ opinions. Moreover, the generalized cross entropy approach has been applied for the first time on web data, adding prior information on the effect of semantic classes on the global sentiment, improving accuracy and adding detail to the analysis.

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Notes

  1. ‘Fuzzy’ is here intended as embedding concepts from more than one cluster at once.

  2. Remember that our considerations are restricted to the case where no fuzzy k-means clustering is applied. In this last case, further consideration should be made: The most straightforward approach would be to keep the same general approach, but here it should be: \(C' \notin \mathcal {R}^{n_o \times n_c}\).

  3. This matrix is actually a vector, because there is only one document: The query itself.

  4. See https://dev.twitter.com/streaming/public for more information.

  5. Available at https://store.continuum.io/cshop/anaconda/.

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Authors and Affiliations

  1. Department of Innovation Engineering, University of Salento, Lecce, Italy

    Angelo Corallo, Laura Fortunato & Andrea Massafra

  2. Department of History, Society and Human Studies, University of Salento, Lecce, Italy

    Paola Pasca & Enrico Ciavolino

  3. Department of Innovation Engineering, University of Salento & INFN, Lecce, Italy

    Mario Angelelli

  4. Department of Computing and Technology, Anglia Ruskin University, Cambridge, UK

    Mike Hobbs

  5. Department of Statistics, Yarmouk university, Irbid, Jordan

    Amjad D. Al-Nasser

  6. Department of Mathematics, Al al-Bayt University, Mafraq, Jordan

    Amer I. Al-Omari

Authors
  1. Angelo Corallo
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  2. Laura Fortunato
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  3. Andrea Massafra
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  4. Paola Pasca
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  5. Mario Angelelli
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  6. Mike Hobbs
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  7. Amjad D. Al-Nasser
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  8. Amer I. Al-Omari
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  9. Enrico Ciavolino
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Correspondence to Enrico Ciavolino.

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Communicated by Massimo Squillante.

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Corallo, A., Fortunato, L., Massafra, A. et al. Sentiment analysis of expectation and perception of MILANO EXPO2015 in twitter data: a generalized cross entropy approach. Soft Comput 24, 13597–13607 (2020). https://doi.org/10.1007/s00500-019-04368-7

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  • DOI: https://doi.org/10.1007/s00500-019-04368-7

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